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| GRridge-package | Implements adaptive group-regularized (logistic) ridge regression by use of co-data. |
| annotationWurdinger | R-objects related to the mRNAseq data |
| auc | Area under the ROC curve |
| coDataWurdinger | R-objects related to the mRNAseq data |
| CpGann | Contains 5 R-objects, including the data and the binary response |
| CpGannFarkas | Contains three R-objects, including the data and the binary response |
| CreatePartition | Creates a partition (groups) of variables |
| dataFarkas | Contains three R-objects, including the data and the binary response |
| dataSimlin | Small simulated data set with linear response |
| dataVerlaat | Contains 5 R-objects, including the data and the binary response |
| dataWurdinger | R-objects related to the mRNAseq data |
| datcenFarkas | Contains three R-objects, including the data and the binary response |
| datcenVerlaat | Contains 5 R-objects, including the data and the binary response |
| datWurdinger_BC | R-objects related to the mRNAseq data |
| diffmeanFarkas | Contains 5 R-objects, including the data and the binary response |
| GRridge | Implements adaptive group-regularized (logistic) ridge regression by use of co-data. |
| grridge | Group-regularized (logistic) ridge regression |
| grridgeCV | Returns the cross-validated predictions |
| hello | Hello, World! |
| matchGeneSets | Creates a grouping of variables (genes) from gene sets |
| mergeGroups | Merge groups in a partition |
| PartitionsSelection | Co-data selection in a Group-regularized ridge regression model |
| predict | Predictions for new samples |
| predict.grridge | Predictions for new samples |
| pvalFarkas | Contains 5 R-objects, including the data and the binary response |
| respFarkas | Contains three R-objects, including the data and the binary response |
| respVerlaat | Contains 5 R-objects, including the data and the binary response |
| respWurdinger | R-objects related to the mRNAseq data |
| roc | Produces ROC curve for probabilistic classifiers (e.g. logistic regression) |